A three-way match and an approval routing rule sound simple until invoice volume grows past what one person can eyeball. Here's how AI takes on the matching load without moving who approves what.
Key takeaways
Invoices arrive by email, mail or a supplier portal and need matching to a purchase order and a receiving record before GL coding and approval routing can even start. As invoice volume grows past what one person can check by hand, that matching step is where the queue backs up first, not the approval itself.
The result is either invoices sitting unmatched for days waiting on someone to confirm the PO and receipt line up, or an approver skimming and approving on trust because there isn't time to actually verify the match. Both create risk, just in different directions.
Document capture tools like Dext, feeding into QuickBooks Online, Sage 50 or Xero, can match an invoice against its purchase order and any receiving record, and flag a mismatch on quantity, price or vendor rather than let it pass through silently.
Once matched, the system can draft a suggested GL code based on how that vendor's invoices have been coded before, so the approver is reviewing a suggestion against the actual expense, not starting from a blank coding field every time.
Every invoice above a set threshold, and every exception the match flags, still routes to a named approver. Payment release, whether through Plooto or your bank's own platform, still requires that same person's sign-off; nothing pays automatically just because a match succeeded.
The control point shifts from "does this look right at a glance" to "is this specific exception acceptable", which is a narrower, more defensible decision to make in the moment and easier to explain to an auditor later.
The risk in any automated matching workflow is that approval turns into a formality once everything technically "looks matched." Setting a genuine dollar threshold, and routing a sample of already-matched invoices for spot review, keeps the approval step meaningful instead of decorative.
Most finance teams start with one vendor category or one entity, confirm the match rate holds up over a few cycles, and only then extend the workflow across the full AP book.
A 30-minute call is enough to tell you whether AI pays for itself here.
